Tatjana Tchumatchenko is a professor of computational neuroscience of behavior (W3) the Institute for Experimental Epileptology and Cognition Research at the University of Bonn Medical Center. She studied physics in Darmstadt, and received a degree summa cum laude for her doctoral thesis at the Max Planck Institute for Dynamics and Selforganisation in Göttingen. She was an independent Max Planck Group leader at the Max Planck Institute for Brain Research in Frankfurt, before joining the University of Bonn.

Her research aims to understand the synaptic and neuronal mechanisms that enact the computational strategies in neural circuits. In her work, she employs pen-and-paper calculations and numerical simulations to study the impact of supervised and unsupervised synaptic learning rules on neural circuit dynamics.She is interested in the organization of molecular dynamics within dendrites and explores how protein dynamics contributes to synaptic plasticity. Ultimately, her research aims to understand how complex behavioral functions, such as navigation, decision making, and memory, emerge from the multi-scale activity within recurrent networks.

Tatjana Tchumatchenko is an elected computational neuroscience representative at the German Neuroscience Society (2023-2025), elected steering committee member of the Bernstein Network, the FENS Programme committee 2023, chair and co-chair of the Bernstein Conference in 2022-2023. In addition, she is a recipient of the FENS Boehringer Ingelheim Award (2022), ERC Starting grant (2020) and Heinz Maier Leibnitz prize (2016).